Multilevel models in international business research

Mark F Peterson, Jean-Luc Arregle and Xavier Martin
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Mark F Peterson: 1] Florida Atlantic University, Boca Raton, USA[2] Maastricht University, The Netherlands
Jean-Luc Arregle: EM Lyon Business School, Ecully, France

Journal of International Business Studies, 2012, vol. 43, issue 5, 457 pages

Abstract: Multiple-level (or mixed linear) modeling (MLM) can simultaneously test hypotheses at several levels of analysis (usually two or three), or control for confounding effects at one level while testing hypotheses at others. Advances in multi-level modeling allow increased precision in quantitative international business (IB) research, and open up new methodological and conceptual possibilities. However, they create new challenges, and they are still not frequently used in IB research. In this editorial we outline some key methodological issues for the uses of MLM in IB, including criteria, sample size, and measure equivalence issues. We then examine promising directions for future multilevel IB research considering comparative opportunities at nation, multiple-nation cluster, and within-nation region levels, including large multilevel databases. We also consider its promise for MNE research about semi-globalization, interorganizational effects across nations, clusters within nations, and teams and subsidiaries within MNEs.

Date: 2012
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